Geospatial temporal assessment and monitoring of land area carbon: Evidence from Adekunle Ajasin University, Akungba Akoko, Ondo State, Nigeria

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Abstract This study was conducted to monitor some area carbon in Adekunle Ajasin University Akungba (AAUA) Campus to encourage tree planting alongside her edifice and discourage high rate of deforestation. This study relies solely on the use of remote sensing data to estimate carbon sequestration between year 2014 and 2020. The objective of this study is to estimate the carbon sequestration capacity in the study area using remote sensing (RS) and geographical information system (GIS) with a view to enkindling the importance of trees or forest within the University campus. Consequently, Landsat 8 TM Satellite images of year 2014 and 2020 of the study area were obtained from United States Geological Survey (USGS). The spectral vegetation index (normalised difference vegetation index) was estimate using spectral bands 4 and 5. Ten areas were chosen for this study and their coordinates obtained using GPS receiver when visited. These areas were not developed in 2014 and not fully developed as at year 2020. Through normalised difference vegetation index (NDVI) spread using Water scaler, Evapotranspiration, Potential evapotranspiration (PET), Absorbed photosynthetic active radiation (APAR) and Fraction of absorbed photosynthetic active radiation (FAPAR). The biomass carbon values were generated and the mean biomass carbon values were obtained. It was observed that 2014 had a mean biomass of 7.83 kg/m3 while the figure was 2.47 kg/m3 for 2020. The biomass carbon values per hectare were obtained as 87.00 kg/m3/ ha and 27.40 kg/m3/ ha for 2014 and 2020, respectively. Total biomass carbon of 69, 951.62 kg/m3 and 22, 031.93 kg/m3 were sequestered in 2014 and 2020, respectively for the entire study area. Results of biomass carbon for the designated locations and year using t-test were significantly different at P > 0.05. Therefore, carbon sequestration in the year 2014 was higher and better than those obtained in the year 2020 and this reduction could be attributed to forest degradation or loss of vegetation in the study locations. For environmental and carbon friendly atmosphere, green plants are encouraged to be included within urban development plan in the university campuses.

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